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import gradio as gr
import requests
from g4f import Provider, models
from langchain.llms.base import LLM
from langchain_g4f import G4FLLM
url = "https://app.embedchain.ai/api/v1/pipelines/f14b3df8-db63-456c-8a7f-4323b4467271/context/"
def greet(name):
payload = {
"query": f"{name}",
"count": 5
}
headers = {
'Authorization': 'Token ec-pbVFWamfNAciPwb18ZwaQkKKUCCBnafko9ydl3Y5',
}
response = requests.request("POST", url, headers=headers, json=payload)
print(name)
c = response.text
llm = LLM = G4FLLM(
model=models.gpt_35_turbo,
provider=Provider.Aichat,
)
res = llm(f"contexte:{c}. {name}")
print(res)
return res
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch() |